Tuncer, D; Charalambides, M; El-Ezhabi, H; Pavlou, G; (2013) Management Substrate Structure for Adaptive Network Resource Management.

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Abstract

Centralized and offline network management functionality, traditionally deployed by operators, cannot easily deal with the traffic patterns of emerging services, which are becoming more dynamic and unpredictable. As such, decentralized solutions that are flexible and adaptive to traffic and network dynamics are of paramount importance. To this end, an in-network management approach in which an intelligent substrate allows the dynamic reconfiguration of resources according to network conditions has been developed. The set of nodes forming this logical structure are able to communicate with each other to coordinate their decisions. This paper investigates the use of three different topology models to organize the nodes in the substrate. Algorithms to compute the proposed structures that are described take into account important criteria such as minimizing the latency and the communication overhead among the substrate nodes. A quantitative and qualitative evaluation of the different structures in terms of cost and complexity is performed based on real network topologies.

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